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Capgemini

Global consulting, technology services, outsourcing

Senior Data Scientist Public Sector

Applied Machine LearningUpdated on Nov 14
Part-timeNo salary listed

About the Job

Requirements

  • A completed degree in Computer Science, Mathematics, Statistics, Physics, or a comparable field is required.
  • Practical experience processing and analyzing large, heterogeneous datasets, and designing and developing data-driven solutions for complex use cases is required.
  • Strong knowledge of data science, machine learning, statistics, generative AI, large language model applications, and agentic AI is required.
  • Proficiency with Python, SQL, and distributed data processing with Spark is required.
  • Experience designing and implementing ETL/ELT processes and scalable data pipelines, for example with AWS Glue, Apache Airflow, or dbt, is required.
  • Knowledge of common machine learning and generative AI frameworks, such as TensorFlow, PyTorch, Hugging Face, or LangChain, is required.
  • The ability to derive and evaluate methodologically sound results and translate them into actionable recommendations for different public administration contexts is required.
  • The ability to gather requirements from different stakeholders and translate them appropriately is required.
  • Fluent communication in German and English is required.

Responsibilities

  • Advise public-sector clients on the design and development of data-driven AI and data science solutions to digitize and accelerate administrative processes.
  • Take responsibility across the solution lifecycle, from data preparation and modeling through integration into existing IT systems and specialist procedures.
  • Design scalable data architectures and end-to-end data pipelines, ensuring data governance, cloud governance, quality, integrity, and security are addressed.
  • Apply methods including machine learning, natural language processing, generative AI, large language model applications, and agentic AI, using hyperscaler platforms, sovereign cloud and infrastructure approaches, or on-premises technologies suited to public-sector needs.
  • Develop and validate practical AI and automation solutions for public administration challenges, particularly agentic process automation at state and municipal levels, from identifying use cases and developing prototypes through production-oriented implementation.
  • Present analysis results to appropriate audiences, create visualizations, reports, and dashboards, and support workshops, use-case definition, and data-driven strategies.

Desired Qualifications

  • Experience in production-oriented environments, API-based architectures, and containerization, including Docker or Kubernetes.
  • Experience with cloud, sovereign infrastructure, or on-premises environments, such as AWS, Azure, GCP, or StackIT.
  • Understanding of cloud governance, data protection, information security, and data governance as success factors for public-sector AI solutions.
  • Experience in client-facing public-sector roles, consulting, or collaboration with public-sector clients.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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